Pairwise benchmark snapshot · Aug 16, 2026

Gemini 3.6 Flash vs GPT-5.6 Sol benchmark

Name: Gemini 3.6 Flash vs GPT-5.6 Sol AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Gemini 3.6 Flash (Google) and GPT-5.6 Sol (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, GPT-5.6 Sol is ahead by 102 points (1,608 vs 1,506; seed-bootstrap (Aug 16, 2026)). On SWE-bench coding, GPT-5.6 Sol resolves 77.6% versus 70.8% (seed-bootstrap (Aug 16, 2026)). Gemini 3.6 Flash streams faster (198 tok/s) while Gemini 3.6 Flash is the cheaper output token ($3.75/1M). GPT-5.6 Sol has the larger context window (1.1M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

Share Analysis:

WhatsApp Telegram X / Post LinkedIn Reddit

Google

Gemini 3.6 Flash

Google Jul 21 workhorse. Now shares the 3.7 Flash introductory $0.75/$3.75 rate through Dec 31 2026.

Elo 1,506$3.75/1M out

OpenAI

GPT-5.6 Sol

OpenAI 5.6 flagship tier. Official API $5/$30 per 1M tokens (OpenAI pricing, Jul 30 2026 update left Sol unchanged).

Elo 1,608$30/1M out

Swap or Add Any Model to this Matchup

Instant pairwise benchmark recalculation across 400+ LLMs

Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Gemini 3.6 Flash (4)vsGPT-5.6 Sol (6)

Gemini 3.6 Flash: 4W (40%)Overall: GPT-5.6 SolGPT-5.6 Sol: 6W (60%)

← Gemini 3.6 FlashGPT-5.6 Sol →

GPT-5.6 Sol (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,506vs1,608

Coding Elo

1,514vs1,602

SWE-bench

70.8%vs77.6%

LiveBench

67.2%vs73.9%

GPQA Diamond

79.6%vs86.8%

Gemini 3.6 Flash: 0WGPT-5.6 Sol: 5W

Gemini 3.6 Flash (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

198 tok/svs84 tok/s

Time to first token

92 msvs270 ms

Gemini 3.6 Flash: 2WGPT-5.6 Sol: 0W

Gemini 3.6 Flash (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$3.75/1Mvs$30/1M

Input price

$0.75/1Mvs$5/1M

Context window

1Mvs1.1M

Gemini 3.6 Flash: 2WGPT-5.6 Sol: 1W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageGPT-5.6 Sol 4/6

Preference Elo

GPT-5.6 Sol

102 pts advantage

Throughput Speed

Gemini 3.6 Flash

114 tok/s faster

Price Efficiency

Gemini 3.6 Flash

$26.25/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,506

EloHigh is better

1,608+7%

Code Elo

High is better

1,514

Code EloHigh is better

1,602+6%

LiveBench

High is better

67.2%

LiveBenchHigh is better

73.9%+10%

SWE-bench

High is better

70.8%

SWE-benchHigh is better

77.6%+10%

GPQA

High is better

79.6%

GPQAHigh is better

86.8%+9%

TTFT

Low is better

+193%92 ms

TTFTLow is better

270 ms

Speed

High is better

+136%198 tok/s

SpeedHigh is better

84 tok/s

In $

Low is better

+567%$0.75/1M

In $Low is better

$5/1M

Out $

Low is better

+700%$3.75/1M

Out $Low is better

$30/1M

Context

High is better

ContextHigh is better

1.1M

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 87% with Gemini 3.6 Flash

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Gemini 3.6 Flash$82.50 / mo

In: $26.25Out: $56.25

GPT-5.6 Sol$625.00 / mo

In: $175.00Out: $450.00

Estimated Cost Delta

Gemini 3.6 Flash is estimated to save $542.50/month ($6,510/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
GPT-5.6 Sol:Pick GPT-5.6 Sol when repo-level coding accuracy is the constraint.
2
Gemini 3.6 Flash:Pick Gemini 3.6 Flash when you are optimizing output cost.
3
Gemini 3.6 Flash:Pick Gemini 3.6 Flash when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGPT-5.6 Sol

Higher SWE-bench (77.6%).

High-volume chatGemini 3.6 Flash

Lower output list price ($3.75/1M).

Voice / low-latency UIGemini 3.6 Flash

Lower TTFT (92 ms).

Long-document RAGGPT-5.6 Sol

Larger window (1.1M).

Screenshots / visionGPT-5.6 Sol

Both accept images. Defaulting to the higher-Elo side (GPT-5.6 Sol).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-5.6 Sol	Higher SWE-bench (77.6%).
High-volume chat	Gemini 3.6 Flash	Lower output list price ($3.75/1M).
Voice / low-latency UI	Gemini 3.6 Flash	Lower TTFT (92 ms).
Long-document RAG	GPT-5.6 Sol	Larger window (1.1M).
Screenshots / vision	GPT-5.6 Sol	Both accept images. Defaulting to the higher-Elo side (GPT-5.6 Sol).

Related Editorial Dispatches & Benchmark Notes

View all news

priceAug 13, 2026

Gemini 3.6 Flash (Jul 21) now shares the 3.7 intro rate

Jul 21 workhorse that inherited $0.75/$3.75 through year-end. Keep the row; 3.7 is the newer sibling.

compareAug 12, 2026

Grok vs ChatGPT: price and Elo, not a personality contest

Brand hub remaps to top xAI vs top OpenAI. After Aug 12 that is Grok 4.6 vs Sol.

compareJul 24, 2026

Claude vs GPT benchmark: this hub always remaps to the current Elo leaders

Not a frozen 2025 article. Today that is usually Opus 5 vs GPT-5.6 Sol. Dated cells, not a brand fight.

compareJul 16, 2026

Gemini vs GPT: long context versus the OpenAI flagship invoice

Hub remaps to top Google vs top OpenAI Elo. Usually 3.6 Pro vs Sol. Window vs price is the plot.

Community Sentiment

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

No comments posted on this matchup yet. Be the first to share an evaluation note!

Share card

The real PNG is generated at /compare/gemini-3-6-flash-vs-gpt-5-6-sol/opengraph-image for crawlers.

PNG

CompareLLM Matrix

Verified head-to-head card

LIVE

Google

Gemini 3.6 Flash

Elo 1,506

LiveBench67.2%

SWE-bench70.8%

Speed198 tok/s

Output cost$3.75/1M

OpenAI

GPT-5.6 Sol

Elo 1,608

LiveBench73.9%

SWE-bench77.6%

Speed84 tok/s

Output cost$30/1M

Frequently Asked Questions

Which is better overall, Gemini 3.6 Flash or GPT-5.6 Sol?: GPT-5.6 Sol has the higher preference Elo in our latest snapshot (1,608). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Gemini 3.6 Flash or GPT-5.6 Sol?: GPT-5.6 Sol leads SWE-bench at 77.6% vs 70.8%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Gemini 3.6 Flash output tokens are $3.75/1M versus $30/1M. Input prices and retry rates still move the real bill.
Which is faster, Gemini 3.6 Flash or GPT-5.6 Sol?: Gemini 3.6 Flash has the lower time-to-first-token (92 ms vs 270 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: GPT-5.6 Sol accepts 1.1M tokens versus 1M.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Gemini 3.6 Flash and GPT-5.6 Sol Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Gemini 3.6 Flash matchups →|All GPT-5.6 Sol matchups →

Gemini 3.6 Flash vs Gemini 3 Flash (previous gemini-flash)Gemini 3.6 Flash vs Gemini 3.7 Flash (next gemini-flash)GPT-5.6 Sol vs GPT-5 (previous gpt-flagship)Gemini 2.0 Flash Thinking vs Gemini 3.6 Flash GPT-4.5 Orion vs Gemini 3.6 Flash GPT-5.6 Terra vs Gemini 3.6 Flash

Gemini 3.6 Flash vs GPT-5.6 Sol benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Gemini 3.6 Flash (4)vsGPT-5.6 Sol (6)

Gemini 3.6 Flash: 4W (40%)Overall: GPT-5.6 SolGPT-5.6 Sol: 6W (60%)

← Gemini 3.6 FlashGPT-5.6 Sol →

GPT-5.6 Sol (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,506vs1,608

Coding Elo

1,514vs1,602

SWE-bench

70.8%vs77.6%

LiveBench

67.2%vs73.9%

GPQA Diamond

79.6%vs86.8%

Gemini 3.6 Flash: 0WGPT-5.6 Sol: 5W

Gemini 3.6 Flash (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

198 tok/svs84 tok/s

Time to first token

92 msvs270 ms

Gemini 3.6 Flash: 2WGPT-5.6 Sol: 0W

Gemini 3.6 Flash (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$3.75/1Mvs$30/1M

Input price

$0.75/1Mvs$5/1M

Context window

1Mvs1.1M

Gemini 3.6 Flash: 2WGPT-5.6 Sol: 1W

Recommended Workload Routing

Repo / coding agentsGPT-5.6 Sol

Higher SWE-bench (77.6%).

High-volume chatGemini 3.6 Flash

Lower output list price ($3.75/1M).

Voice / low-latency UIGemini 3.6 Flash

Lower TTFT (92 ms).

Long-document RAGGPT-5.6 Sol

Larger window (1.1M).

Screenshots / visionGPT-5.6 Sol

Both accept images. Defaulting to the higher-Elo side (GPT-5.6 Sol).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	GPT-5.6 Sol	Higher SWE-bench (77.6%).
High-volume chat	Gemini 3.6 Flash	Lower output list price ($3.75/1M).
Voice / low-latency UI	Gemini 3.6 Flash	Lower TTFT (92 ms).
Long-document RAG	GPT-5.6 Sol	Larger window (1.1M).
Screenshots / vision	GPT-5.6 Sol	Both accept images. Defaulting to the higher-Elo side (GPT-5.6 Sol).

Frequently Asked Questions

Which is better overall, Gemini 3.6 Flash or GPT-5.6 Sol?

GPT-5.6 Sol has the higher preference Elo in our latest snapshot (1,608). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Gemini 3.6 Flash or GPT-5.6 Sol?

GPT-5.6 Sol leads SWE-bench at 77.6% vs 70.8%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Gemini 3.6 Flash output tokens are $3.75/1M versus $30/1M. Input prices and retry rates still move the real bill.

Which is faster, Gemini 3.6 Flash or GPT-5.6 Sol?

Gemini 3.6 Flash has the lower time-to-first-token (92 ms vs 270 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

GPT-5.6 Sol accepts 1.1M tokens versus 1M.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Gemini 3.6 Flash and GPT-5.6 Sol Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

GPT-5.6 Sol

Gemini 3.6 Flash

Gemini 3.6 Flash

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Gemini 3.6 Flash (Jul 21) now shares the 3.7 intro rate

Grok vs ChatGPT: price and Elo, not a personality contest

Claude vs GPT benchmark: this hub always remaps to the current Elo leaders

Gemini vs GPT: long context versus the OpenAI flagship invoice

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Gemini 3.6 Flash

GPT-5.6 Sol

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

GPT-5.6 Sol

Gemini 3.6 Flash

Gemini 3.6 Flash

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Gemini 3.6 Flash (Jul 21) now shares the 3.7 intro rate

Grok vs ChatGPT: price and Elo, not a personality contest

Claude vs GPT benchmark: this hub always remaps to the current Elo leaders

Gemini vs GPT: long context versus the OpenAI flagship invoice

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Gemini 3.6 Flash

GPT-5.6 Sol

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons